Experimental study on gas permeability and radon control performance of red clay covering layer on uranium mill tailings pond.

The decommissioning of uranium mill tailings pond generally employs covering layer to diminish radon exhalation, with soil permeability, thickness, and moisture content being essential considerations in assessing the efficacy of radon reduction. This research uses a proprietary multi-field coupled seepage testing apparatus and a simulated covering layer radon exhalation device to evaluate samples' permeability and radon control effectiveness across different covering layer thicknesses, pressure gradients, and moisture content levels. The findings demonstrate that gas permeability diminishes with increasing covering layer thickness, exhibiting a more pronounced decline at pressures below 0.

Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds.

A new analysis method for the environmental stability of uranium tailing ponds is established in this paper, and the stability intervals and environmental stability rates of indicators are defined in precise mathematical language and analyzed with examples. The results show that the overall environmental stability of this uranium tailings pond is still in a poor state after the first phase of decommissioning treatment, and special decommissioning treatment should be carried out for factors such as pH and radionuclides Po and Pb. Using the powerful nonlinear mapping function of the artificial neural network, a radial basis function neural network algorithm was constructed to predict the environmental stability of the uranium tailing pond.